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OPEN MODELS / Vision language models

Run clef-flash:9b on a cloud GPU

clef-flash:9b is a Vision language models model by Ollama. See how much GPU memory it needs, which GPUs it fits on today and what it costs to run it yourself, billed per second.

From the project: Clef-Flash is a 9B multimodal model that turns a state and a schema of typed questions into decisions.

Rent RTX A4000 from $0.19/hr
Parameters
≈ 9B
GPU memory needed
≈ 14 GB
License
—
Source
Ollama

GPUs it fits on today

About 14 GB of GPU memory: the model download (4-bit by default) plus working memory.

GPUMemoryPer hour10 hours
RTX A400016 GB$0.19$1.90Rent
RTX 2080 Ti22 GB$0.20$2.00Rent
RTX 5060 Ti16 GB$0.20$2.00Rent
Tesla V10016 GB$0.22$2.20Rent
Q RTX 500016 GB$0.24$2.40Rent

Live starting prices from our catalog. You pay per second while the machine runs.

How to run clef-flash:9b

  1. 01

    Rent a GPU

    Pick one of the GPUs above. Billing is per second; stop the machine and you stop paying.

  2. 02

    Open a terminal or Jupyter

    Connect over SSH or open Jupyter in your browser. PyTorch and CUDA are ready to use.

  3. 03

    Install Ollama and run the model

    Run the commands below. Ollama downloads the model and serves an OpenAI-compatible API on port 11434.

curl -fsSL https://ollama.com/install.sh | sh
ollama run clef-flash:9b

Why run it yourself?

Run document and image understanding on your own GPU: no per-image fee, and files stay on your machine.

Questions

How much GPU memory does clef-flash:9b need?
By our estimate about 14 GB for inference (9B parameters). Higher resolution, longer context or bigger batches need more.
How much does it cost to run clef-flash:9b?
From $0.19 per hour on RTX A4000, billed per second. Ten hours cost about $1.90.
Do I need a subscription?
No. You pay only for the time your machine runs, from your USD balance. Stop it whenever you are done.

Try it on your own GPU in minutes

Pick a GPU, open Jupyter or SSH and run any open model. You pay per second and can stop anytime; no subscription, no setup fee.

  • Per-second billing in USD
  • PyTorch and CUDA ready in minutes
  • Rent from ChatGPT or Claude too

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